Not applicable: students failing a unit of assessment resit the assessment in its original format.

Prerequisites / Co-requisites

None.

Module overview

Expected prior learning: Mathematical knowledge at the level of entry requirements for a degree programme in Engineering.

Module purpose: Mathematics is the best tool we have for quantitative understanding of engineering systems. This course in pure mathematics is specifically designed for Electronic Engineering students and covers the fundamental techniques for many future engineering courses taught here.

Module aims

This module aims to provide students with some of the basic understanding and skills in mathematics needed to follow a degree prgramme in engineering.

Learning outcomes

Attributes Developed

Demonstrate knowledge of the concepts, notation and terminology introduced in the module

KCT

Perform basic calculations accurately

CPT

Solve problems in the key mathematical areas

KCT

Present solutions in a clear, structured way, with accuracy and logical consistency

Properties of Functions: Exponential and logarithmic functions and their properties. Odd, even and periodic functions. Concept of a function and inverse functions, trigonometric and inverse trigonometric functions, solution of trigonometric equations.

Vectors: Magnitude, dot and cross product. Meaning of the dot and cross product.

Differentiation: Concept of derivative and rules of differentiation for a function of one variable. Differentiation of trigonometric, exponential and logarithmic functions. Applications to gradients, tangents and normals, extreme points and curve sketching. Functions of several variables. The idea that the graph of z=f(x,y) is a surface. First and second order partial derivatives and their meanings as slopes in particular directions. The total differential and applications to errors and rates of change.

Sequences and Series: Arithmetic and geometric sequences and series. Binomial expansion. Maclaurin and Taylor series expansions. Calculation of approximations and limits using power series. Evaluation of limits, including L'Hôpital's Rule.

Integration: Concept of indefinite integration as the inverse of differentiation and standard methods for integration such as substitution, integration by parts and integration of rational functions. Definite integration, areas under curves. Mean and rms values. Integrals requiring trigonometric substitutions. Calculation of areas under curves given implicitly.

Further Integration: Evaluation of multiple integrals with both constant and non-constant limits. Interpretation of the region of integration of a multiple integral and evaluation of multiple integrals by changing the order of integration.

The learning and teaching strategy is designed to achieve the following aims:

Student familiarity with the basic concepts, notations and techniques used in mathematics as it is applied to engineering.
Facility with the underlying mathematical tools that will support many other courses in the Electronic Engineering degree programmes.
All students should be at a sufficient level of ability in Mathematics by the end of semester 1 that they can benefit from the course Mathematics II – Applied Mathematics.

The assessment strategy for this module is designed to provide students with the opportunity to demonstrate the learning outcomes. The written examination will assess the knowledge and assimilation of mathematical terminology, notation, concepts and techniques, as well as the ability to work out solutions to previously unseen problems. The assignments give the students a chance to practise the required techniques shortly after they have been taught.

Thus, the summative assessment for this module consists of the following.

· 2-hour, closed-book written examination (60%)

· 1-hour unseen written class test (typically in week 4) (20%)

· 1-hour unseen written class test (typically in week 9) (20%)

Any deadlines given here are indicative. For confirmation of exact date and time, please check the Departmental assessment calendar issued to you.

Formative assessment and feedback

For the module, students will receive formative assessment/feedback in the following ways.

· During lectures, by question and answer sessions

· During office hour meetings with students

· By means of unassessed tutorial problems in the notes (with answers/model solutions)

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2017/8 academic year.